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Ayodeji Emmanuel Oke

Researcher at University of Johannesburg

Publications -  246
Citations -  1902

Ayodeji Emmanuel Oke is an academic researcher from University of Johannesburg. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 14, co-authored 158 publications receiving 821 citations. Previous affiliations of Ayodeji Emmanuel Oke include Federal University of Technology Akure.

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Unravelling the Factors Influencing Construction Organisations’ Intention to Adopt Big Data Analytics in South Africa

TL;DR: In this paper, a post-positivism philosophical stance was employed, which informed the use of quantitative research with a questionnaire designed to solicit information from construction organisations in South Africa in order to assess the intention to adopt BDA by construction organisations using the unified theory of technology adoption and use of technology (UTAUT) model.
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Key requirements for effective implementation of building information modelling for maintenance management

TL;DR: In this article , the authors evaluated the key requirements for the effective implementation of Building Information Modelling (BIM) in the construction industry and concluded that a huge responsibility is placed on the top management of an organization to promote the adoption of BIM for the maintenance management of infrastructure.
Journal Article

Assessment of Knowledge Management Practices among Construction Professionals in Nigeria

TL;DR: In this paper, the authors examined the areas of the construction industry that will improve as a result of the contributions of knowledge management and revealed that the knowledge management adoption is being hindered the most in Nigeria by funding as there is no adequate fund to carry it out in construction organizations.
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Exploring the Cloud Computing Implementation Drivers for Sustainable Construction Projects—A Structural Equation Modeling Approach

TL;DR: In this paper , a decision support model to support a cloud computing implementation by looking into the relationship between cloud computing drivers and construction activities in Nigeria was generated, which can be used as a reference or standard for decision-makers to base their decisions on the cost efficiency of cloud computing and its capability to boost efficiency in the construction sector.
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Improving accuracy of road projects’ estimates in the Ghanaian construction industry

TL;DR: The study revealed that factors categorised as due diligence by estimator should be given more attention for accuracy of estimates to be improved and bridges the gap between theory and practice by outlining how the findings can be implemented practically.